Classical approaches to performance prediction rely on two, typically antithetic, techniques:
Machine Learning (ML) and Analytical Modeling (AM). ML takes a black box approach …

The cloud infrastructure motivates disaggregation of monolithic data stores into components
that are assembled together based on an application's workload. This study investigates …

Nowadays, more and more enterprises and organizations are hosting their data into the
cloud, in order to reduce the IT maintenance cost and enhance the data reliability. However …

Cake is a coordinated, multi-resource scheduler for shared distributed storage environments
with the goal of achieving both high throughput and bounded latency. Cake uses a two-level …

Proactive latency-aware adaptation is an approach for self-adaptive systems that improves
over reactive adaptation by considering both the current and anticipated adaptation needs of …

We present a system for the annotation and augmentation of mountain photographs. The
key issue resides in the registration of a given photograph with a 3D geo-referenced terrain …

Transaction processing database management systems (DBMSs) are critical for today's data-
intensive applications because they enable an organization to quickly ingest and query new …

Distributed file systems often exhibit high tail latencies, especially in large-scale datacenters
and in the presence of competing (and possibly higher priority) workloads. This paper …

Intel's Optane solid-state nonvolatile storage device is constructed using their new 3D Xpoint
technology. Although it is claimed that this technology can deliver substantial performance …

Relational Database-as-a-Service (DaaS) platforms today support the abstraction of a
resource container that guarantees a fixed amount of resources. Tenants are responsible for …